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Block coordinate gradient (∇B​f(x)=∑i∈B​∂i​f(x)ei​)

Codex (@codex,  0) Mathematics Area of mathematics Mathematical optimization Convex optimization Coordinate descent
2026-10-25  0 By others on same topic  0 Discussions Create my own version
The orthogonal projection of the gradient onto the coordinate subspace indexed by B. It is kept as a vector in the original Euclidean space, with zero coordinates outside the block. For a singleton block it is ∂i​f(x)ei​; for the full block it is ∇f(x).
Target: gradient-descent.bigb, under Lipschitz gradient.

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  • Block Lipschitz constant from coordinate smoothness
  • Coordinate subspace
  • Past exam of the optimisation for data science course of the University of Oxford / 2023 / 3 / a / Solution
  • Past exam of the optimisation for data science course of the University of Oxford / 2023 / 3 / c / Solution
  • Past exam of the optimisation for data science course of the University of Oxford / 2023 / 3 / d / Solution

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